Memory and target payoff enhance cooperation in evolutionary social dilemmas

Area of Science:

• Evolutionary Game Theory
• Social Dilemmas
• Agent-Based Modeling

Background:

• Cooperation is crucial for group success but challenging to maintain in social dilemmas.
• Existing models often lack mechanisms that dynamically adapt to group performance and future goals.

Purpose of the Study:

• To propose and evaluate a novel neighbor selection mechanism for promoting cooperation.
• To investigate the impact of memory length and target payoff on group outcomes.

Main Methods:

• Agent-based simulations on grid environments.
• Implementation of a neighbor selection strategy based on past average payoffs (memory) and a target payoff.
• Analysis of Prisoner's Dilemma and Snowdrift game dynamics.

Main Results:

• The proposed mechanism significantly enhances group payoff and cooperation levels.
• Increased memory length directly correlates with higher group payoff and cooperation.
• The strategy effectively balances individual learning with group-level optimization.

Conclusions:

• Memory and target payoff are key factors for the emergence and persistence of cooperation.
• This mechanism offers a robust framework for understanding and fostering cooperation in complex social systems.
• Future research should explore diverse variables within evolutionary frameworks to promote cooperation.